docs: def tokenize(self, text: str, customize=True, disable=[]) -> List[Token]:
          """
          Tokenize the given text, returning a list of tokens. Type token: class spacy.tokens.Token
  
          Args:
              text (string):
  
          Returns: [tokens]
  
          """
  
          """Tokenize text"""
          if not self.keep_multi_space:
              text = re.sub(' +', ' ', text)
          # disable spacy parsing, tagging etc as it takes a long time if the text is short
          tokens = self.nlp(text, disable=disable)
          if customize:
              tokens = [self.custom_token(a_token) for a_token in tokens]
  
          return tokens